World's Best Scientists 2026 revealed!
Yves Moreau

Yves Moreau

D-Index & Metrics

Genetics

D-Index
75
Citations
32739
World Ranking
1869
National Ranking
29

Engineering and Technology

D-Index
65
Citations
29435
World Ranking
1485
National Ranking
15

Yves Moreau publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Yves Moreau sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 331 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Yves Moreau D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Yves Moreau sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 65 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2018 - Fellow of the International Society for Computational Biology

Overview

Yves Moreau is affiliated with KU Leuven in Belgium and works primarily within the fields of Biochemistry, Genetics and Molecular Biology, Medicine, and Computer Science. Their research spans various interdisciplinary areas, notably Molecular Biology, Artificial Intelligence, Genetics, Computational Theory and Mathematics, and Pathology and Forensic Medicine.

The scientist's work covers key topics including Computational Drug Discovery Methods, Multiple Sclerosis Research Studies, Cancer Genomics and Diagnostics, Bioinformatics and Genomic Networks, Machine Learning in Materials Science, SARS-CoV-2 and COVID-19 Research, and Genomics and Phylogenetic Studies.

Yves Moreau has authored papers published in a range of scientific journals and preprint archives with substantial output in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), European Journal of Human Genetics, Bioinformatics, and Scientific Reports.

Frequent co-authors include Daniele Raimondi, Edward De Brouwer, Ádám Arany, Liesbet M. Peeters, and Ashkan Pirmani, indicating collaborative work in related scientific domains.

Recent publications include:

  • Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs, 2020, Computational and Structural Biotechnology Journal
  • The use of polygenic risk scores in pre-implantation genetic testing: an unproven, unethical practice, 2021, European Journal of Human Genetics
  • MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information, 2023, Journal of Chemical Information and Modeling
  • ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning, 2020, Journal of Chemical Information and Modeling
  • COVID-19 in people with multiple sclerosis: A global data sharing initiative, 2020, Multiple Sclerosis Journal

Yves Moreau was awarded the Fellow of the International Society for Computational Biology in 2018, recognizing contributions to computational biology through this professional distinction.

Best Publications

  • PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences

    Magali Lescot;Patrice Déhais;Gert Thijs;Kathleen Marchal

  • BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis

    Steffen Durinck;Yves Moreau;Arek Kasprzyk;Sean Davis

  • DECIPHER: Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources

    Helen V. Firth;Shola M. Richards;A. Paul Bevan;Stephen Clayton

  • Gene prioritization through genomic data fusion.

    Stein Aerts;Diether Lambrechts;Sunit Maity;Peter Van Loo

  • A human phenome-interactome network of protein complexes implicated in genetic disorders

    Kasper Lage;E Olof Karlberg;Zenia M Størling;Páll Í Ólason

  • CHROMOSOME INSTABILITY IS COMMON IN HUMAN CLEAVAGE-STAGE EMBRYOS

    Evelyne Vanneste;Thierry Voet;Cédric Le Caignec;Cédric Le Caignec;Michèle Ampe

  • GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks.

    Thomas Moerman;Thomas Moerman;Sara Aibar Santos;Carmen Bravo González-Blas;Jaak Simm;Jaak Simm

  • A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling.

    Gert Thijs;Magali Lescot;Kathleen Marchal;Stephane Rombauts

  • A Gibbs sampling method to detect overrepresented motifs in the upstream regions of coexpressed genes.

    Gert Thijs;Kathleen Marchal;Magali Lescot;Stephane Rombauts

  • Computational tools for prioritizing candidate genes: boosting disease gene discovery

    Yves Moreau;Léon-Charles Tranchevent

  • A Gibbs sampling method to detect over-represented motifs in the upstream regions of co-expressed genes

    Gert Thijs;Kathleen Marchal;Magali Lescot;Stephane Rombauts

  • From hype to reality: data science enabling personalized medicine

    Holger Fröhlich;Rudi Balling;Niko Beerenwinkel;Oliver Kohlbacher

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks

    Olivier Gevaert;Frank De Smet;Dirk Timmerman;Yves Moreau

  • ACE-inhibition induces a cardioprotective transcriptional response in the metabolic syndrome heart

    Aziza Yakubova;Lieven Thorrez;Dmitry Svetlichnyy;Liesbeth Zwarts

  • Emerging patterns of cryptic chromosomal imbalance in patients with idiopathic mental retardation and multiple congenital anomalies: a new series of 140 patients and review of published reports

    B. Menten;N. Maas;B. Thienpont;K. Buysse

  • Versatile Gene-Specific Sequence Tags for Arabidopsis Functional Genomics: Transcript Profiling and Reverse Genetics Applications

    Pierre Hilson;Joke Allemeersch;Thomas Altmann;Sébastien Aubourg

  • Biclustering microarray data by Gibbs sampling.

    Qizheng Sheng;Yves Moreau;Bart De Moor

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • Optimized Data Fusion for Kernel k-Means Clustering

    Shi Yu;Leon-Charles Tranchevent;Xinhai Liu;W. Glanzel

  • Chromosome Instability Is Common in Human Cleavage-Stage Embryos

    Evelyne Vanneste;Thierry Voet;Cedric Le Caginec;Michele Ampe

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Bart De Moor
Bart De Moor KU Leuven
Thierry Voet
Thierry Voet KU Leuven
Thomas D'Hooghe
Thomas D'Hooghe Yale University
Stein Aerts
Stein Aerts KU Leuven
Peter Van Loo
Peter Van Loo The Francis Crick Institute
Kathleen Marchal
Kathleen Marchal Ghent University

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